gaplo917

import kotlinx.coroutines.*
import kotlinx.coroutines.flow.*

data class ItemDetails(val data: Any)

val current by lazy { System.currentTimeMillis() }

val timeDiff: Long get() = System.currentTimeMillis() - current

fun logWithElapseTime(s: String) = println("Elapsed ${timeDiff}ms - $s")

gaplo917

# greatly reduce build time
# https://docs.gradle.org/current/userguide/build_cache.html
org.gradle.caching=true

# potentially increase build speed if the gradle task can be parallel
# https://docs.gradle.org/current/userguide/performance.html#parallel_execution
org.gradle.parallel=true

# watch file system 
# https://blog.gradle.org/introducing-file-system-watching

gaplo917

// https://github.com/GoogleCloudPlatform/cloudbowl-microservice-game.git
const express = require('express');
const app = express();
const bodyParser = require('body-parser');

app.use(bodyParser.json());

app.get('/', function (req, res) {
  res.send('Let the battle begin!');
});

gaplo917

import kotlin.reflect.KProperty

fun someContextValueGetter(): Int {
  println("Getting Context Value")
  return 999
}

abstract class LazyObs<T> : kotlin.properties.ReadWriteProperty<Any?, T> {
  private val initialValue by lazy { provideInitialValue() }
  private var value: T? = null

gaplo917

export const status = {
  OK: 0,
  CANCELLED: 1,
  INVALID_ARGUMENT: 3,
  UNIMPLEMENTED: 12,
  INTERNAL: 13,
}

/**
 *

gaplo917

// https://stackoverflow.com/questions/19098797/fastest-way-to-flatten-un-flatten-nested-json-objects
function flatten(data) {
  const result = {}

  function recurse(cur, prop) {
    if (Object(cur) !== cur) {
      result[prop] = cur
    } else if (Array.isArray(cur)) {
      for (let i = 0, l = cur.length; i < l; i++)
        recurse(cur[i], prop + '[' + i + ']')

gaplo917

import com.amazonaws.auth.AWSStaticCredentialsProvider
import com.amazonaws.auth.BasicAWSCredentials
import com.amazonaws.client.builder.AwsClientBuilder
import com.amazonaws.services.dynamodbv2.AmazonDynamoDBClientBuilder
import com.amazonaws.services.dynamodbv2.datamodeling.*
import com.amazonaws.services.dynamodbv2.model.BillingMode
import com.amazonaws.services.dynamodbv2.model.ResourceInUseException
import java.math.BigDecimal
import java.util.*

gaplo917

# Personal Feeling: using the following jvm config is smoother than default 
# My Machine: Macbook pro M1max 64GB
# More Info: https://github.com/FoxxMD/intellij-jvm-options-explained

# Prerequisite (Intellij < 2022.2)
# 1. Install JetBrain Runtime 17 osx-aarch64 for Apple Silicon, https://github.com/JetBrains/JetBrainsRuntime/releases
# 2. Switch the runtime from JetBrain Runtime 11 to 17, https://www.jetbrains.com/help/idea/switching-boot-jdk.html


# JetBrain Toolbox

gaplo917

// Kotlin
open class AAA {
    fun honey(){}
}
interface BBB {
    fun empire(){}
}

abstract class CCC {
    fun bleed() {}

gaplo917

// Dart
class AAA {
  void honey() {}
}
abstract class BBB {
  void empire() {}
}
mixin CCC {
  void bleed() {}
}